Kagi
Ad-free, high-quality web search and page-to-markdown extraction from an AI agent.
Quick answer
What it does
Exposes two Kagi tools: kagi_search_fetch (web/news/video/podcast/image search with extraction) and kagi_extract (full page content as markdown).
Best for
- Spam-free web search
- Page-to-markdown extraction
- Personal Kagi-subscriber workflows
- Quality-over-quantity retrieval
Not for
- Free-only workflows (paid subscription required)
- Very high request volumes
Setup recipe
Pick your client, then follow the three steps.
- 1
Install
claude_desktop_config.jsonjson{ "mcpServers": { "kagi": { "command": "uvx", "args": [ "kagimcp" ], "env": { "KAGI_API_KEY": "${KAGI_API_KEY}" } } } }Paste under mcpServers. Fully quit and reopen Claude after editing.
CLI or .mcp.jsonshell# export KAGI_API_KEY=your_kagi_api_key claude mcp add kagi -- uvx kagimcpRun from your repo. Commit .mcp.json to share with your team.
.cursor/mcp.jsonjson{ "mcpServers": { "kagi": { "command": "uvx", "args": [ "kagimcp" ], "env": { "KAGI_API_KEY": "${KAGI_API_KEY}" } } } }Global path: ~/.cursor/mcp.json. Reload window after editing.
.vscode/mcp.jsonjsonc{ "servers": { "kagi": { "command": "uvx", "args": [ "kagimcp" ], "env": { "KAGI_API_KEY": "${KAGI_API_KEY}" } } } }VS Code uses the "servers" key (not "mcpServers").
~/.codeium/windsurf/mcp_config.jsonjson{ "mcpServers": { "kagi": { "command": "uvx", "args": [ "kagimcp" ], "env": { "KAGI_API_KEY": "${KAGI_API_KEY}" } } } }Open via Cascade → hammer icon → Configure.
cline_mcp_settings.jsonjson{ "mcpServers": { "kagi": { "command": "uvx", "args": [ "kagimcp" ], "env": { "KAGI_API_KEY": "${KAGI_API_KEY}" } } } }Open via the Cline sidebar → MCP Servers → Edit.
~/.continue/config.jsonjson{ "experimental": { "modelContextProtocolServers": [ { "transport": { "type": "stdio", "command": "uvx", "args": [ "kagimcp" ], "env": { "KAGI_API_KEY": "${KAGI_API_KEY}" } } } ] } }Continue uses modelContextProtocolServers with a transport block.
~/.codex/config.tomlshell# ~/.codex/config.toml [mcp_servers.kagi] command = "uvx" args = [ "kagimcp", ] env = { KAGI_API_KEY = "${KAGI_API_KEY}" }Codex uses TOML. Each server is a [mcp_servers.<name>] subtable.
~/.config/zed/settings.jsonjsonc{ "context_servers": { "kagi": { "command": { "path": "uvx", "args": [ "kagimcp" ] }, "env": { "KAGI_API_KEY": "${KAGI_API_KEY}" } } } }Zed calls them "context_servers". Settings live-reload on save.
ChatGPT → Apps directorynoneKagi doesn't ship a hosted HTTPS endpoint today. ChatGPT supports remote MCP servers only — to use this server in ChatGPT you'll need to deploy it to a public HTTPS URL first (e.g. via Cloudflare Workers or Vercel) or wait for an official remote build.
- 2
Set required secrets
Set
KAGI_API_KEYin your shell environment before launching your MCP client. - 3
Try a minimum working prompt
Minimum working prompt pending verification. Try any prompt from the MCP’s README once installed.
Tools & permissions
Tools list pending verification. The server exposes tools over MCP; we haven’t yet parsed its capability manifest into this page. Check the GitHub repo for the authoritative list.
Agent prompt pack
— copy into Claude, Cursor, or ChatGPT.Recommend the best MCP servers for [task: e.g. web search work] in [client: Claude]. Constraints: - Prefer tools that are [official | open-source | read-only] — pick what matters for my use case. - Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport]. - Return at most 3 picks, ranked. For each pick include: 1. One-sentence rationale. 2. The ready-to-paste install snippet for my client. 3. Any required secrets I need to create before installing. Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-web-search
Compare Kagi MCP vs [Exa MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"]. Judge them on: - Setup time and complexity (what a new user hits first). - Auth model (none / API key / OAuth 2.1) and credential risk. - Transport (stdio / Streamable HTTP / SSE) and where the server runs. - Required secrets and the blast radius if they leak. - Operational risk in an unattended agent loop. - Which one is "good enough" for a weekend prototype vs. production. End with one sentence: which should I pick for my scenario, which is: [my scenario]. References: - https://top-mcps.com/mcp/kagi - top-mcps.com listing for Exa
Install the Kagi MCP server for my [client: Claude] at the default config path for that client. Use the exact install snippet published at https://top-mcps.com/mcp/kagi (fetch https://top-mcps.com/mcp/kagi.json for the canonical server.json if you can read URLs). Before finishing: 1. Create the required secrets (KAGI_API_KEY) and put them in the appropriate env block — do not hard-code them. 2. Restart or reload the client so it picks up the new server. 3. Verify the server is connected (green / running state) and at least one tool is listed. 4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry. Confirm when done and list the tools the server now exposes.
Frequently asked questions
What changed
— 2 updates tracked.Refreshed install snippets and fact sheet; verified for 2026.
Initial directory listing.
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